Volker Sluka

30 total papers · 498 total citations
18 papers, 373 citations indexed

About

Volker Sluka is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Volker Sluka has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 9 papers in Condensed Matter Physics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Volker Sluka's work include Magnetic properties of thin films (18 papers), Physics of Superconductivity and Magnetism (8 papers) and Quantum and electron transport phenomena (5 papers). Volker Sluka is often cited by papers focused on Magnetic properties of thin films (18 papers), Physics of Superconductivity and Magnetism (8 papers) and Quantum and electron transport phenomena (5 papers). Volker Sluka collaborates with scholars based in Germany, United States and France. Volker Sluka's co-authors include A. Deac, Attila Kákay, J. Faßbender, Jürgen Lindner, Andrew D. Kent, Ciarán Fowley, R. A. Gallardo, R. Mattheis, Markus Weigand and Claus M. Schneider and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Nature Nanotechnology.

In The Last Decade

Volker Sluka

18 papers receiving 366 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Volker Sluka 330 163 142 123 74 18 373
Giuliano Bordignon 307 0.9× 157 1.0× 120 0.8× 56 0.5× 58 0.8× 14 342
S. H. Florez 331 1.0× 165 1.0× 106 0.7× 95 0.8× 62 0.8× 22 355
José V. Anguita 339 1.0× 162 1.0× 110 0.8× 99 0.8× 170 2.3× 15 414
J. Heidmann 308 0.9× 120 0.7× 87 0.6× 188 1.5× 69 0.9× 24 389
Radovan Urban 340 1.0× 115 0.7× 103 0.7× 129 1.0× 74 1.0× 11 385
Jean‐Pierre Nozières 394 1.2× 177 1.1× 148 1.0× 150 1.2× 64 0.9× 11 421
Sucheta Mondal 356 1.1× 190 1.2× 109 0.8× 136 1.1× 96 1.3× 27 427
Elena Bankowski 287 0.9× 91 0.6× 95 0.7× 159 1.3× 29 0.4× 20 339
B.F.P. Roos 312 0.9× 154 0.9× 121 0.9× 135 1.1× 94 1.3× 20 388
Avinash Kumar Chaurasiya 321 1.0× 147 0.9× 118 0.8× 124 1.0× 88 1.2× 22 388

Countries citing papers authored by Volker Sluka

Since Specialization
Citations

This map shows the geographic impact of Volker Sluka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Volker Sluka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Sluka more than expected).

Fields of papers citing papers by Volker Sluka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Volker Sluka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Volker Sluka. The network helps show where Volker Sluka may publish in the future.

Co-authorship network of co-authors of Volker Sluka

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Sluka. A scholar is included among the top collaborators of Volker Sluka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Volker Sluka. Volker Sluka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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